Candidate Status

Available

about

Applied Mathematics and Epidemiological Modeling professional with expertise in mathematical modeling, scientific computing, and advanced data analysis. Experienced in modeling complex phenomena, including predator-prey dynamics and infectious disease spread, using quantitative and computational methods. Focused on applying analytical skills to address global health challenges, support evidence-based research, and inform data-driven public health interventions.

education

Cooperative Masters of Science in Mathematical Epidemiology

African Institute for Mathematical Sciences (AIMS) Cameroon

September 2025 - 2027

Master of Science in Applied Mathematics (Mathematical Modeling and Scientific Computing)

University of Yaoundé

2025

Bachelor in Applied Mathematics

University of Dschang

2023

Experience

Mathematics Teachers

Private College, Yaoundé Cameroon

September 2023 - June 2025

skills

Python, R, Matlab, MongoDB, Bash / Shell, React, Pandas, Numpy, Matplotlib, SciPy, Next.js, Flask, NumPyro, English, French, Git / Github / GitLab, Google Cloud

Areas of Competence

Data Storytelling, Health informatics, Epidemiological modeling, Experimental design, Interdisciplinary problem solving, Reinforcement Learning

Country

Cameroon

Ulrich Valdes Tchomba Ngounou

Mathematical Epidemiologist

Mathematical Epidemiologist